Accelerated hit identification with target evaluation, deep learning and automated labs: prospective validation in IRAK1.

Background: Target identification and hit identification can be transformed through the application of biomedical knowledge analysis, AI-driven virtual screening and robotic cloud lab systems. However there are few prospective studies that evaluate the efficacy of such integrated approaches.

Results: We synergistically integrate our in-house-developed target evaluation (SpectraView) and deep-learning-driven virtual screening (HydraScreen) tools with an automated robotic cloud lab designed explicitly for ultra-high-throughput screening, enabling us to validate these platforms experimentally.

Associations of adverse childhood events with disordered eating behaviors among US adolescents.

The purpose of our study was to use recent nationally-representative data to 1) determine whether reported adverse childhood experiences (ACEs) were associated with individual disordered eating behaviors (DEBs) for the US- based early and middle adolescent population; and 2) the extent to which individual ACE categories were associated with DEBs for this population. The study used cross-sectional data from the 2022 National Survey of Children's Health, which used parent-reported data. Inclusion criteria included all early (10-13 years of age) and middle-aged adolescents (14-17 years of age) (n = 24,173).

Integrated Psychological Services in Pediatric Oncology: Caregiver Perspectives at Diagnosis.

Background/objectives: Pediatric oncology patients and families are at risk for increased distress at diagnosis. The New Oncology Program in Psychology (NOPP) aligns psychological care with the established standards of care at diagnosis. This project aimed to evaluate NOPP and understand the differences between caregivers' perceptions of feeling informed and prepared to navigate psychosocial concerns for those who did and did not receive psychological services at diagnosis.